Weifeng Liu

发表

Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification

Changsheng Xu, Dapeng Tao, Sichao Fu, 2021, ACM Trans. Multim. Comput. Commun. Appl..

Adaptive multi-scale transductive information propagation for few-shot learning

Xiaoyuan Jing, Qinmu Peng, Sichao Fu, 2022, Knowl. Based Syst..

Probabilistic Memory Model for Visual Images Categorization

Yanjiang Wang, Weifeng Liu, Baodi Liu, 2020, Comput. Informatics.

Multistep-Ahead Prediction of Ocean SSTA Based on Hybrid Empirical Mode Decomposition and Gated Recurrent Unit Model

Weifeng Liu, Baodi Liu, Xiaoyin Liu, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

DMH-FSL: Dual-Modal Hypergraph for Few-Shot Learning

Weifeng Liu, Rui Xu, Baodi Liu, 2022, Neural Processing Letters.

Generalized Zero-Shot Learning Based on Manifold Alignment

Weifeng Liu, Rui Xu, Baodi Liu, 2022, 2022 16th IEEE International Conference on Signal Processing (ICSP).

Deep Conditional Generative Adversarial Network for History Matching with Complex Geologies

Weifeng Liu, Xiaopeng Ma, Jiaxing Li, 2021, 2021 40th Chinese Control Conference (CCC).

Transductive Graph-Attention Network for Few-shot Classification

Weifeng Liu, Lili Pan, 2022, 2022 16th IEEE International Conference on Signal Processing (ICSP).

Co-Learning for Few-Shot Learning

Weifeng Liu, Rui Xu, Baodi Liu, 2022, Neural Processing Letters.

Label Embedded Dictionary Learning for Image Classification

Weifeng Liu, Yanjiang Wang, Shuai Shao, 2019, Neurocomputing.

Urban Perception: Sensing Cities via a Deep Interactive Multi-task Learning Framework

Liqiang Nie, Fuli Feng, Weifeng Liu, 2021, ACM Trans. Multim. Comput. Commun. Appl..

Manifold regularized kernel logistic regression for web image annotation

Dapeng Tao, Weifeng Liu, Hongli Liu, 2013, Neurocomputing.

Automated Drawing Psychoanalysis via House-Tree-Person Test

Weifeng Liu, Baodi Liu, Ting Pan, 2022, 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI).

MKEL: Multiple Kernel Ensemble Learning via Unified Ensemble Loss for Image Classification

Zhengjun Zha, Sumet Mehta, Jianping Fan, 2021, ACM Trans. Intell. Syst. Technol..

Enrich Features for Few-Shot Point Cloud Classification

Yanjiang Wang, Weifeng Liu, Baodi Liu, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Unified Cross-domain Classification via Geometric and Statistical Adaptations

Jinfeng Li, Yicong Zhou, Weili Guan, 2021, Pattern Recognit..

Saliency-Guided Remote Sensing Image Super-Resolution

Lifei Zhao, Yanjiang Wang, Weijia Cao, 2021, Remote. Sens..

Attention-Based Multi-View Feature Collaboration for Decoupled Few-Shot Learning

Yicong Zhou, Yanjiang Wang, Weifeng Liu, 2023, IEEE Transactions on Circuits and Systems for Video Technology.

MDFM: Multi-Decision Fusing Model for Few-Shot Learning pdf

Shuai Shao, Lei Xing, Weifeng Liu, 2021, IEEE Transactions on Circuits and Systems for Video Technology.

CNN-combined graph residual network with multilevel feature fusion for hyperspectral image classification

Yanjiang Wang, Weifeng Liu, G. Xu, 2021, IET Comput. Vis..

Numerical Simulation of Higher-Order Nonlinearity of Human Brain Functional Connectivity Using Hypergraph p-Laplacian

Yanjiang Wang, Chunyu Du, Weifeng Liu, 2021, Mathematics.

Accurately modeling the human brain functional correlations with hypergraph Laplacian

Yanjiang Wang, Jichao Ma, Bao-Di Liu, 2020, Neurocomputing.

Color Transfer Pulse-Coupled Neural Networks for Underwater Robotic Visual Systems

Weifeng Liu, Dapeng Tao, Jun Cheng, 2018, IEEE Access.

Non-Contrastive Nearest Neighbor Identity-Guided Method for Unsupervised Object Re-Identification

Weifeng Liu, Mingchen Zou, Baodi Liu, 2023, IEEE Transactions on Circuits and Systems for Video Technology.

Interference Distillation for Underwater Fish Recognition

Dapeng Tao, Weifeng Liu, Baodi Liu, 2021, ACPR.

DMH-FSL: Dual-Modal Hypergraph for Few-Shot Learning

Weifeng Liu, Rui Xu, Baodi Liu, 2022, Neural Process. Lett..

From Objects to a Whole Painting

Fei Wang, Weifeng Liu, Baodi Liu, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

HesGCN: Hessian graph convolutional networks for semi-supervised classification

Yicong Zhou, Dapeng Tao, Liqiang Nie, 2020, Inf. Sci..

Brain-inspired Hierarchical Attention Recurrent CNN for Image Classification

Yanjiang Wang, Weifeng Liu, Baodi Liu, 2022, 2022 16th IEEE International Conference on Signal Processing (ICSP).

CSN: Component-Supervised Network for Few-Shot Classification

Yanjiang Wang, Lei Xing, Weifeng Liu, 2023, Eng. Appl. Artif. Intell..

Semi-supervised classification by graph p-Laplacian convolutional networks

Dapeng Tao, Sichao Fu, Kai Zhang, 2021, Inf. Sci..

Identification of Working Condition From Sucker-Rod Pumping Wells Based On Multi-View Co-Training and Hessian Regularization of SVM

Weifeng Liu, Yanjiang Wang, Bin Zhou, 2018, 2018 14th IEEE International Conference on Signal Processing (ICSP).

Hessian-regularized weighted multi-view canonical correlation analysis for working condition recognition of sucker-rod pumping wells

Yanjiang Wang, Weifeng Liu, Bin Zhou, 2018, Systems Science & Control Engineering.

Sparse Canonicial Correlation Analysis for Mobile Media Recognition on the Cloud

Bin Zhou, Weifeng Liu, Yanjiang Wang, 2017, J. Mobile Multimedia.

A graph convolutional neural network model with Fisher vector encoding and channel-wise spatial-temporal aggregation for skeleton-based action recognition

Yanjiang Wang, Sichao Fu, Weifeng Liu, 2022, IET Image Process..

Selecting Information Fusion Generative Adversarial Network for Remote-Sensing Image Cloud Removal

Weifeng Liu, Baodi Liu, Wenzong Jiang, 2023, IEEE Geoscience and Remote Sensing Letters.

Affine Non-Negative Collaborative Representation for Deep Metric Learning

Kai Zhang, Min Zhu, Weifeng Liu, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Collaborative Representation for Deep Meta Metric Learning

Kai Zhang, Min Zhu, Weifeng Liu, 2021, ICMR.

Dynamic Feature Attention Network for Remote Sensing Image Dehazing

Weifeng Liu, Baodi Liu, Weijia Cao, 2023, Neural Processing Letters.

SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning pdf

Rui Xu, Bao-Di Liu, Weifeng Liu, 2020, ArXiv.

Double Discriminative Constraint-Based Affine Nonnegative Representation for Few-Shot Remote Sensing Scene Classification

Weifeng Liu, Baodi Liu, Tianhao Yuan, 2023, IEEE Geoscience and Remote Sensing Letters.

Cross-Dimension Attention Guided Self-Supervised Remote Sensing Single-Image Super-Resolution

Yanjiang Wang, Weifeng Liu, Lifei Zhao, 2021, Remote. Sens..

Enhanced Full-Resolution Residual Network for Image Super-Resolution

Kai Zhang, Weifeng Liu, Lifei Zhao, 2021, 2021 40th Chinese Control Conference (CCC).

FADS: Fourier-Augmentation Based Data-Shunting for Few-Shot Classification

Yanjiang Wang, Weifeng Liu, Baodi Liu, 2024, IEEE Transactions on Circuits and Systems for Video Technology.

DICS-Net: Dictionary-guided Implicit-Component-Supervision Network for Few-Shot Classiﬁcation

Yanjiang Wang, Weifeng Liu, Baodi Liu, 2022 .

Learn from Object Counting: Crowd Counting with Meta-learning

Weili Guan, Kai Zhang, Weifeng Liu, 2021, IET Image Process..

Linked Attention-Based Dynamic Graph Convolution Module for Point Cloud Classification

Kai Zhang, Weifeng Liu, Bao-Di Liu, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Learning to Cooperate: Decision Fusion Method for Few-Shot Remote-Sensing Scene Classification

Yanjiang Wang, Weifeng Liu, Yuteng Ma, 2022, IEEE Geoscience and Remote Sensing Letters.

Ensembling Multi-View Discriminative Semantic Feature for Few-Shot Classification

Yanjiang Wang, Weifeng Liu, Rui Xu, 2024, Eng. Appl. Artif. Intell..